• Title/Summary/Keyword: 국내기록정보서비스

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Coordinate Accuracy Comparison of Online GPS Data Processing Services (온라인 GPS 자료처리 서비스의 좌표 정확도 비교분석)

  • Won, Ji-Hye;Son, Eun-Seong;Park, Kwan-Dong
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.4
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    • pp.31-39
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    • 2010
  • In this study, the performance of the online GPS processing services provided by diverse institutions was compared so that domestic GPS users in geodesy and surveying can easily get precise coordinates using those services. In order to evaluate the accuracy of each online GPS processing service, we calculated coordinates of seven GPS permanent stations located in Korea and foreign countries using APPS, CSRS-PPP, AUSPOS and OPUS. And the results were compared with published coordinates by IERS and National Geographic Information Institute. In the cases of foreign stations, the mean value of the horizontal errors was 9.3 mm and the descending order of accuracies was APPS, AUSPOS, OPUS and CSRS-PPP. In the cases of Korean stations, the mean value of the horizontal errors was 37.6 mm, although the order of accuracy was similar to the foreign cases; AUSPOS, APPS, OPUS and CSRS-PPP. Also, the average value of 3-D errors in Korean cases was about 3 cm larger than that of foreign cases and a bias of 3 cm was observed in the north direction.

A Study on Bi-LSTM-Based Drug Side Effects Post Detection Model in Social Network Service Data (소셜 네트워크 서비스 데이터에서 Bi-LSTM 기반 약물 부작용 게시물 탐지 모델 연구)

  • Lee, Chung-Chun;Lee, Seunghee;Song, Mi-Hwa;Lee, Suehyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.397-400
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    • 2022
  • 본 연구에서는 소셜 네트워크 서비스(Social Network Service, SNS) 데이터로부터 약물 부작용 게시글을 추출하기 위한 순환 신경망(Recurrent Neural Network, RNN) 기반 분류 모델을 제안한다. 먼저, 처방 빈도가 높으며 게시글을 많이 확보할 수 있는 케토프로펜 약물에 대하여 국내 최대 소셜 네트워크 플랫폼인 네이버 블로그와 카페의 게시글(2005 년~2020 년)을 확보하고 최종 3,828 건을 분석하였다. 결과적으로 케토프로펜에 대한 3 종(약물, 부작용, 불용어)의 렉시콘을 정의하였으며 이를 기반으로 Bi-LSTM 분류모델 기준 87%의 정확도를 얻었다. 본 연구에서 제안하는 모델은 SNS 데이터가 약물 부작용 정보 획득을 위한 기존 (전자의무기록, 자발적 약물 부작용 보고 시스템 등) 자료원에 대한 보완적 정보원이 되며, 개발된 Bi-LSTM 분류모델을 통해 약물 부작용 게시글 추출의 편리성을 제공할 것으로 기대된다.

Security issues and requirements for cloud-based u-Healthcare System (클라우드기반 u-헬스케어 시스템을 위한 보안 이슈 및 요구사항 분석)

  • Lee, Young Sil;Kim, TaeYong;Lee, HoonJae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.299-302
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    • 2014
  • Due to the convergence between digital devices and the development of wireless communication technology, bit-signal sensor miniaturization, building an Electronic Medical Record (EMR) which is a digital version of a paper chart that contains all of a patient's medical history and the information of Electronic Health Record (EHR), Ubiquitous healthcare (u-Healthcare) that can monitor their health status and provide personal healthcare service anytime and anywhere. Also, the appearance of cloud computing technology is one of the factors that accelerate the development of u-healthcare service. However, if the individual information to be used maliciously during the u-healthcare service utilization, leads to serious problems directly related to the individual's life because if it goes beyond the level of simple health screening and treatment, it may not provide accurate and reliable healthcare services. For this reason, we analyzed a variety of security issues related to u-healthcare service in cloud computing environment and described about directions of secure health information sharing system construction. In addition, we suggest the future developmental direction for th activation of u-healthcare industry.

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KMSS: Korean Media Script Dataset for Dialogue Summarization (대화 요약 생성을 위한 한국어 방송 대본 데이터셋 )

  • Bong-Su Kim;Hye-Jin Jun;Hyun-Kyu Jeon;Hye-in Jung;Jung-Hoon Jang
    • Annual Conference on Human and Language Technology
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    • 2022.10a
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    • pp.198-204
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    • 2022
  • 대화 요약은 다중 발화자와 발화문으로 이루어진 멀티턴 형식의 문서에 대해 핵심내용을 추출하거나 생성하는 태스크이다. 대화 요약 모델은 추천, 대화 시스템 등에 콘텐츠, 서비스 기록에 대한 분석을 제공하는 데 유용하다. 하지만 모델 구축에 필요한 한국어 대화 요약 데이터셋에 대한 연구는 부족한 실정이다. 본 논문에서는 생성 기반 대화 요약을 위한 데이터셋을 제안한다. 이를 위해 국내 방송사의 대용량 콘텐츠로 부터 원천 데이터를 수집하고, 주석자가 수작업으로 레이블링 하였다. 구축된 데이터셋 규모는 6개 카테고리에 대해 약 100K이며, 요약문은 단문장, 세문장, 2할문장으로 구분되어 레이블링 되었다. 또한 본 논문에서는 데이터의 특성을 내재화하고 통제할 수 있도록 대화 요약 레이블링 가이드를 제안한다. 이를 기준으로 모델 적합성 검증에 사용될 디코딩 모델 구조를 선정한다. 실험을 통해 구축된 데이터의 몇가지 특성을 조명하고, 후속 연구를 위한 벤치마크 성능을 제시한다. 데이터와 모델은 aihub.or.kr에 배포 되었다.

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A Study on Research Data Creation and Management by Researchers in Mechanical Engineering (기계공학분야 연구자들의 연구데이터 생산과 관리에 관한 연구)

  • Park, Yunmi;Kim, Jihyun
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.137-162
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    • 2021
  • This study aimed to examine the perception and experience of researchers in the field of mechanical engineering on research data creation and management, and suggest implications for research data management and services in the field. Research data management and services of domestic and foreign research institutes were investigated, and in-depth interviews were conducted with researchers belonging to domestic mechanical engineering research institutes to analyze the perception and conduction of research data creation and management according to four major categories: "research data, accountable conducting of research and compliance with research ethics, utility and effectiveness of research data management, and the value of sharing research data." To ensure effective research data management and services in mechanical engineering, it is necessary to conduct a data investigation on the process, type, and form of production to collect explicit metadata and implicit contextual information. It is also necessary to propose a plan to recognize research results using the publication of data journals and to prepare infrastructure such as a cloud-based system that supports safe data management and communication between researchers. In addition, it suggests that it is important for various officials in the research field to allocate roles and responsibilities for research data management and services at the organizational level.

A Study on Open Source Transition Strategy of Record System (기록시스템의 오픈소스화 전략 연구)

  • An, Dae-jin;Yim, Jin-hee
    • The Korean Journal of Archival Studies
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    • no.52
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    • pp.119-170
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    • 2017
  • This study aims to analyze the environment for the open-source records system and to identify the risk and requirements for the success of the strategy in Korea. For this, Chapter 2 presented a review of the strategic benefits of open source to public organizations, developers, and users. It also discussed the process of cooperatively developing and releasing the source code and the technology infrastructure supporting open source. In Chapter 3, six representative open-source projects in the field of records management were selected, and case studies were conducted. To derive comprehensive implications, we have divided the main development body of open-source projects into international organizations, international cooperation systems, national archives, and software development companies. We also analyzed the background and purpose of each project, the agents of development and funding, the governance model, the development period and cost, the business model and software architecture, the community composition, and the licensing strategy. Through this, we have derived four critical success factors. In terms of technology, a component-based design was required; therefore, we proposed a microservice architecture and a model-view-controller design pattern. Next, it was necessary to reestablish system requirements of records center and archives. Moreover, we also proposed a dual licensing strategy to allow developers to easily participate in open-source projects. Lastly, we emphasized a strong governance structure and an effective cooperation framework to create a sustainable community. For a record system to be open-source successfully in an organization-centered market, the roles of software developers and end users should be exercised more in the community. To achieve this, it is important to build various collaborative tools and development infrastructure from a planning stage to a centralized one.

Design and Implementation of Trading activity-based Automatic journal processing System (거래활동 기반 회계자동분개처리시스템 설계 및 구현)

  • Yoon, Gil-Sang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.599-602
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    • 2015
  • 국내의 회계프로그램은 일반적으로 거래발생주의에 따라 차변과 대변을 기록하는 복식부기구조의 전표입력을 통한 분개처리 기반으로 이루어져 있다. 이러한 프로그램은 사용자로 하여금 일정수준의 회계지식을 요구한다. 그로인해 일반 중소기업처럼 회계담당직원이 없는 경우에는 회계전문가에게 의뢰를 하거나 도움을 받아야 한다. 본 연구에서는 재무보고서의 원천이 되는 전표발행에 있어서 거래사실만을 입력하면 복식부기의 기준에 맞게 자동분개처리 되어 전표서비스를 제공해줄 수 있는 시스템을 설계 및 구현한 결과를 보여준다. 이는 사용자들이 회계시스템을 쉽게 접근할 수 있는 회계프로그램 개발의 새로운 방향을 제시할 것으로 본다.

A Study on Recognition of Academic Librarian about ALA's Core Competencys of Librarianship (사서의 핵심능력에 대한 대학도서관 사서의 인식에 관한 연구)

  • Noh, Dong-Jo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.4
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    • pp.237-250
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    • 2009
  • This study evaluates Core Competences of Librarianship announced at the congress of American Library Association on January 27th, 2009. For this study, we trained 17 librarians working at academic library, and find out each importance, major intention, required subjects regarding 8 scopes and 40 detailed qualifications indicated Core Competences of Librarianship through survey. The result of this study is that importance order of 8 scopes is organization of recorded knowledge and information, foundations of the profession, reference and user services, and importance order of major intention is foundations of the profession, research, reference and user services respectively. Importance order of required subjects for nurturing Core Competences of Librarianship is library management, information service, and introduction to library and information science, library and information policy, research methods for librarianship, and library automation respectively.

A Systematic Review of Trends of Domestic Digital Curation Research (체계적 문헌고찰을 통한 국내 디지털 큐레이션 연구동향 분석)

  • Minseok Park;Jisue Lee
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.2
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    • pp.41-63
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    • 2024
  • This study investigated research trends in digital curation indexed in a prominent domestic academic information database. A systematic literature review was conducted on 39 academic papers published from 2009 to 2023. The review examined indexing status according to publication year, venue, academic discipline, research area distribution, research affiliation and occupation, and research types. In addition, network centrality analysis and cohesive group analysis were performed on 69 author keywords. The findings revealed several key points. First, digital curation research peaked in 2015 and 2016 with 5 publications each year, followed by a slight decrease, and then consistently produced 4 or more publications annually since 2019. Second, among the 39 studies, 25 were conducted in interdisciplinary fields, including library and information science, while 11 were in the humanities, such as miscellaneous humanities. The most prominent research areas were theoretical and infrastructural aspects, information management and services, and institutional domains. Third, digital curation research was predominantly led by university-affiliated professors and researchers, with collaborative research more prevalent than solo research. Lastly, analysis of author keywords revealed that "digital curation," "institution," and "content" were the most influential central keywords within the overall network.

A Study on the Priorities of Enabling Digital Healthcare Platform for Small and Medium Enterprises : A Comparative Analysis of Consumers and Suppliers

  • Yeon-Kyeong Lee;Min-Jung Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.131-141
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    • 2024
  • The aging population and worsening lifestyle habits have increased the risk of chronic diseases. This has heightened the importance of preventive healthcare, particularly through personalized health management services based on individual health data. Despite this, the domestic digital healthcare industry remains underdeveloped. Given the need for acceptance from both consumers and providers, this study uses the Analytic Hierarchy Process (AHP) to identify success factors for health management service platforms. AHP evaluates the relative importance of various factors to aid decision-making. Results show that providers prioritize data analysis and platform design, laws and regulations, and data standardization, while consumers prioritize system stability, laws and regulations, and system security. These findings highlight the need for strategies to bridge the expectation gap to effectively promote health management service platforms.